Environmental Impacts of Urban Sprawl in Surat, Gujarat: An Examination Using Landsat Data

被引:5
|
作者
Mukherjee, Falguni [1 ]
机构
[1] Sam Houston State Univ, Dept Environm & Geosci, Huntsville, TX 77340 USA
关键词
Urban sprawl; LST; NDVI; NDBI; NDWI; Shannon's entropy; DIFFERENCE VEGETATION INDEX; USE/LAND-COVER CHANGE; SURFACE-TEMPERATURE; HEAT-ISLAND; RAPID URBANIZATION; WATER INDEX; CITY; GIS; GOVERNANCE; INDIA;
D O I
10.1007/s12524-022-01509-8
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study examines the environmental impacts of urban sprawl in Surat inner city in India. Urban sprawl is examined by studying land-use land-cover change from 1998 to 2016. Changes in spatial characteristics of urban land cover are further verified using Shannon's entropy. The impact of urban sprawl is examined by computing normalized difference vegetation index (NDVI), normalized difference water index (NDWI) and normalized difference built-up index (NDBI) values. Land surface temperature (LST) is also calculated using thermal band of multi-temporal Landsat data. Regression analysis is used to calculate the correlation between LST and NDVI, NDWI and NDBI. The study showed a negative correlation between NDVI, NDWI and LST and a positive correlation between NDBI and LST. Urban areas in Surat have grown an approximately 60.41 sq.km, a 102% increase while surface temperature in Surat inner city has risen by 5.1 degrees C during the study period. The study also showed that temperature increase was particularly pronounced throughout areas classified as urban and bare soil and showed an increasing trend in parts of the city with dense urban areas.
引用
收藏
页码:1003 / 1020
页数:18
相关论文
共 50 条
  • [1] Environmental Impacts of Urban Sprawl in Surat, Gujarat: An Examination Using Landsat Data
    Falguni Mukherjee
    Journal of the Indian Society of Remote Sensing, 2022, 50 : 1003 - 1020
  • [2] Assessing the impacts of urban sprawl on net primary productivity using fusion of Landsat and MODIS data
    Yan, Yuchao
    Liu, Xiaoping
    Wang, Feiyue
    Li, Xia
    Ou, Jinpei
    Wen, Youyue
    Liang, Xun
    SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 613 : 1417 - 1429
  • [3] Urban sprawl assessment and modeling using landsat images and GIS
    Mohammady S.
    Delavar M.R.
    Modeling Earth Systems and Environment, 2016, 2 (3)
  • [4] Environmental impacts of urban sprawl: a survey of the literature and proposed research agenda
    Johnson, MP
    ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE, 2001, 33 (04): : 717 - 735
  • [5] Urban Sprawl Analysis Using Remote Sensing Data And Its Impact On Surface Water Bodies: Case Study Of Surat, India
    Sridhar, M. B.
    Sathyanathan, R.
    Subramani, R.
    Sudalaimathu, Karuppasamy
    3RD INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING (ICAME 2020), PTS 1-6, 2020, 912
  • [6] Decadal assessment of urban sprawl and its effects on local temperature using Landsat data in Cantho city, Vietnam
    Nguyen-Thanh Son
    Bui-Xuan Thanh
    SUSTAINABLE CITIES AND SOCIETY, 2018, 36 : 81 - 91
  • [7] Urban sprawl in provincial capital cities in China: evidence from multi-temporal urban land products using Landsat data
    Lu, Linlin
    Guo, Huadong
    Corbane, Christina
    Li, Qingting
    SCIENCE BULLETIN, 2019, 64 (14) : 955 - 957
  • [8] Urban sprawl in provincial capital cities in China: evidence from multi-temporal urban land products using Landsat data
    Linlin Lu
    Huadong Guo
    Christina Corbane
    Qingting Li
    ScienceBulletin, 2019, 64 (14) : 955 - 957
  • [9] Measuring urban sprawl using land use data
    Steurer, Miriam
    Bayr, Caroline
    LAND USE POLICY, 2020, 97
  • [10] Classifying Landsat Thermal Data to Detect Patterns of Urban Sprawl with the Multilayer Level Set Approach
    Huang, Yishuo
    Peng, Chih-Ping
    2014 THIRD INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA 2014), 2014,